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Maynard, J.J., T.W. Nauman, S.W. Salley, B.T. Bestelmeyer, M.C. Duniway, C.J. Talbot, and J.R. Brown, (2019). Digital Mapping of Ecological Land Units using a Nationally Scalable Modeling Framework. Soil Science Society of America Journal https://doi.org/doi:10.2136/sssaj2018.10.0346
Please cite this compendium as:
Maynard, J.J., T.W. Nauman, S.W. Salley, B.T. Bestelmeyer, M.C. Duniway, C.J. Talbot, and J.R. Brown, (2019). Compendium of R code and data for Digital Mapping of Ecological Land Units using a Nationally Scalable Modeling Framework. Accessed 29 May 2019. Online at https://doi.org/doi:10.2136/sssaj2018.10.0346

1. Develop an ESG point dataset for training and cross-validation
2. Preprocess ESG covariates for tiling and point overlay
3. Covariate feature selection and model development
4. Spatial predictions using tiled raster stacks
5. Model validation and uncertainty analysis
sessionInfo()
#> R version 3.5.2 (2018-12-20)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 7 x64 (build 7601) Service Pack 1
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#> Matrix products: default
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#> locale:
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#> [2] LC_CTYPE=English_United States.1252
#> [3] LC_MONETARY=English_United States.1252
#> [4] LC_NUMERIC=C
#> [5] LC_TIME=English_United States.1252
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
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#> other attached packages:
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